A private AI chatbot that remembers your conversation

A self-hosted AI chatbot that responds to messages and remembers recent context, without sending data to outside AI providers.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig>"chat message received"]:::trig s0["send message to local AI"]:::svc s1["include recent chat history"]:::task s2["AI generates reply"]:::svc s3["send reply back to user"]:::task trig --> s0 s0 --> s1 s1 --> s2 s2 --> s3 out[/"context-aware reply sent back"/]:::out pay{{"private chatbot without third-party data sharing"}}:::pay s3 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
AI Agents & Autonomous SystemsAI Chatbots & Assistants
Connects
Ollama

The problem it solves

You want a chatbot for your team or customers but you're wary of sending sensitive conversations to a third-party AI service. Off-the-shelf chatbots also tend to forget what was just said, forcing people to repeat themselves.

Who it fits

Businesses that want an AI chatbot while keeping data on their own infrastructure.

How it works

  1. A message arrives at the chat connection point
  2. The system sends it to a locally run AI model
  3. Recent conversation history is included so context isn't lost
  4. The AI model generates a reply
  5. The reply is sent back to the person chatting
What you get

Conversations handled without leaving your infrastructure

You get an AI chatbot that runs on your own infrastructure and remembers recent conversation context.

What you get

A conversational reply that remembers the recent back-and-forth.

What you need

A server running a local AI model (Ollama) and a chat connection point.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

Related automations

Run a private AI chat assistant on your own computer

Chat with an AI assistant that runs entirely on your own machine, keeping every conversation private.

Standard

Turn chat messages into structured customer records automatically

Reads customer details typed in chat and saves them as clean, duplicate-checked records in your database.

Advanced

Chat with an AI assistant that manages your Appian tasks

A chat assistant lets you ask about or create Appian tasks in plain English, remembering your conversation history.

Advanced

Ask questions and get answers from your own documents

An AI assistant searches your uploaded documents and spreadsheets to answer questions accurately, citing the right source.

Advanced
Back to the AI Playbook